CVE-2026-25960
HIGHvLLM 0.15.1-0.17.0 - Server-Side Request Forgery via URL Parsing Inconsistency
Title source: llmDescription
vLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the load_from_url_async method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses urllib3.util.parse_url() to validate and extract the hostname from user-provided URLs. However, load_from_url_async uses aiohttp for making the actual HTTP requests, and aiohttp internally uses the yarl library for URL parsing. This vulnerability in 0.17.0.
References (9)
Core 9
Core References
Vendor Advisory x_refsource_confirm
https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536
Vendor Advisory x_refsource_misc
https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc
Issue Tracking x_refsource_misc
https://github.com/vllm-project/vllm/pull/34743
Vendor Advisory
https://access.redhat.com/errata/RHSA-2026:24977
Vendor Advisory
https://access.redhat.com/security/cve/CVE-2026-25960
Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2445892
Patch x_refsource_misc
https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0
Vendor Advisory
https://access.redhat.com/errata/RHSA-2026:42644
Scores
CVSS v3
7.1
EPSS
0.0054
EPSS Percentile
42.6%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-474
CWE-918
Status
published
Products (3)
pypi/vllm
0.15.1 - 0.17.0PyPI
vllm/vllm
0.15.1 - 0.17.0
vllm-project/vllm
>= 0.15.1, < 0.17.0
Published
Mar 09, 2026
Tracked Since
Mar 10, 2026